Explore the complex relationship between AI and cybersecurity in this thought-provoking conference talk from NDC Oslo 2023. Delve into the generative AI application landscape, examining AI's role in application security and engineering practices. Understand how security for AI/ML differs from traditional approaches, and learn about AI security/privacy frameworks and standards. Investigate various security risks including data vulnerabilities, AI model attacks, and code exploits. Witness real-world examples of blackbox and whitebox input manipulation, membership inference attacks, model inversion, theft, and supply chain attacks. Gain valuable insights into mitigating these security threats and participate in a critical discussion on the ethical considerations surrounding AI in cybersecurity. Suitable for developers, security experts, and technology enthusiasts seeking to stay ahead in this rapidly evolving field.
How AI is Impacting Cybersecurity - Does It?
Overview
Syllabus
Intro
The generative Al Application landscape
Al in application security
Al engineering practices
How is security for AI/ML different?
Al security/privacy frameworks and standards
Data security risks
Al model attacks
Blackbox input manipulation example
Whitebox input manipulation example
Membership inference attack
Model inversion attack
Model theft
Model supply chain attack
Al code attacks
Guidance for mitigating security threats
Taught by
NDC Conferences
